1 citations · 1 across the 2 of their papers we have counts for
3 papers
ONIX: an X-ray deep-learning tool for 3D reconstructions from sparse views
Yuhe Zhang, Zisheng Yao, Tobias Ritschel +1
Three-dimensional (3D) X-ray imaging techniques like tomography and confocal microscopy are crucial for academic and industrial applications. These approaches access 3D information…
PyPhase -- a Python package for X-ray phase imaging
Max Langer, Yuhe Zhang, Diogo Figueirinhas +4
X-ray propagation-based imaging techniques are well-established at synchrotron radiation and laboratory sources. However, most reconstruction algorithms for such image modalities,…
PhaseGAN: A deep-learning phase-retrieval approach for unpaired datasets
Yuhe Zhang, Mike Andreas Noack, Patrik Vagovic +4
Phase retrieval approaches based on DL provide a framework to obtain phase information from an intensity hologram or diffraction pattern in a robust manner and in real time. Howeve…